SangHyun Lee

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Project management
• Electrical engineering

SangHyun Lee mainly focuses on Risk analysis, Simulation, Concurrent engineering, Project management and Artificial intelligence. He combines subjects such as Quality, Process and Operations management with his study of Risk analysis. His Concurrent engineering study incorporates themes from Stability, Control, Change management and Reliability engineering.

His work deals with themes such as Visualization, Transport engineering and Construction management, which intersect with Project management. His Construction management research incorporates elements of System dynamics, Real-time locating system and Operations research. SangHyun Lee interconnects Machine learning, Resource allocation and Computer vision in the investigation of issues within Artificial intelligence.

His most cited work include:

• Untangling Amyloid-β, Tau, and Metals in Alzheimer’s Disease (205 citations)
• Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs (177 citations)
• A vision-based motion capture and recognition framework for behavior-based safety management (163 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Construction management, Risk analysis, Artificial intelligence, Process and System dynamics. His study in Construction management is interdisciplinary in nature, drawing from both Pre-construction services, Project management, Project planning and Transport engineering. His Risk analysis study combines topics from a wide range of disciplines, such as Operations management, Concurrent engineering, Schedule, Change management and Operations research.

The various areas that SangHyun Lee examines in his Concurrent engineering study include Stability, Reliability engineering and Simulation. His studies in Process integrate themes in fields like Quality and Control. His System dynamics research integrates issues from Discrete event simulation and Systems engineering.

He most often published in these fields:

• Construction management (23.08%)
• Risk analysis (23.08%)
• Artificial intelligence (14.10%)

What were the highlights of his more recent work (between 2017-2021)?

• Artificial intelligence (14.10%)
• Wearable computer (6.41%)
• Human–computer interaction (5.98%)

In recent papers he was focusing on the following fields of study:

SangHyun Lee focuses on Artificial intelligence, Wearable computer, Human–computer interaction, Applied psychology and Electroencephalography. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Computer vision. His study focuses on the intersection of Wearable computer and fields such as Occupational stress with connections in the field of Headset, Simulation, Engineering management and Stressor.

As a part of the same scientific study, SangHyun Lee usually deals with the Human–computer interaction, concentrating on Human–robot interaction and frequently concerns with Perceived safety and Robotics. As a part of the same scientific study, he usually deals with the Applied psychology, concentrating on Risk perception and frequently concerns with Process, Task and Hazard. His Process study combines topics in areas such as Telecommunications network, Control, Agent-based model and Change order.

Between 2017 and 2021, his most popular works were:

• EEG-based workers' stress recognition at construction sites (59 citations)
• Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks (48 citations)
• Remote proximity monitoring between mobile construction resources using camera-mounted UAVs (42 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Electrical engineering
• Project management

His primary areas of study are Electroencephalography, Artificial intelligence, Wearable computer, Human–computer interaction and Stress. As a part of the same scientific family, SangHyun Lee mostly works in the field of Electroencephalography, focusing on Supervised learning and, on occasion, Speech recognition, Stress management and Support vector machine. The study incorporates disciplines such as Machine learning, Missing data and Identification in addition to Artificial intelligence.

His Wearable computer study integrates concerns from other disciplines, such as Affect, Risk perception and Post hoc. His work carried out in the field of Human–computer interaction brings together such families of science as Activity tracker and Construction management. His biological study spans a wide range of topics, including Stressor, Deep learning, Feature and Risk analysis.